29 August 2016 A new detection method for faster-than-Nyquist signaling based on sphere algorithm
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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100335A (2016) https://doi.org/10.1117/12.2243819
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
This paper focuses on the low complexity detection for the Faster-than-Nyquist (FTN) signaling, which is an important problem in the practical application. Considering intersymbol interference (ISI) and colored noise caused by FTN, a new whiten matched filter (WMF) is proposed to decorrelate the colored noise with matrix decomposition. Exploring the structure of upper-triangle matrix, the detection problem for FTN is transformed to a similar type problem of tree-searching. A novel receiver for FTN is proposed based on sphere detection algorithm. Furthermore, for reducing the random detection complexity, a new way is proposed to choose an initial sphere radius size. Numerical results suggest that the proposed method for choosing the initial sphere radius size performs well even in the low signal-to-noise ratio (SNR) region. Moreover, the bit error rate (BER) performance of the proposed method reaches the maximum-likelihood (ML) bound closely.
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Xiaohu Liang, Aijun Liu, Ke Wang, Biao Cai, "A new detection method for faster-than-Nyquist signaling based on sphere algorithm", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100335A (29 August 2016); doi: 10.1117/12.2243819; https://doi.org/10.1117/12.2243819
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